Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detect

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Supervised fault diagnosis typically assumes that all the types of machinery failures are known.However,in practice unknown types of defect,i.e.,novelties,may occur,whose detection is a challenging task.In this paper,a novel fault diagnostic method is dev
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